Disponible avec une licence Spatial Analyst.
Disponible avec une licence Image Analyst.
Synthèse
Defines a circle neighborhood which is created by specifying the radius in either map units or number of cells.
Illustration
Discussion
Tools that use neighborhood circle object: Block Statistics, Focal Statistics, Point Statistics, and Point Density.
Licence :
This class is also available if you have an Image Analyst extension license, but only for the Focal Statistics tool.
A circle neighborhood is created by specifying a radius value. The radius is identified in cell or map units, measured perpendicular to the x- or y-axis. When the radius is specified in map units, it is converted to a radius in cell units. The resulting radius in cell units produces an area that most closely represents the area calculated by using the original radius in map units. Any cell center encompassed by the circle will be included in the processing of the neighborhood.
Syntaxe
NbrCircle ({radius}, {units})
Paramètre | Explication | Type de données |
radius | The radius of the circle neighborhood. (La valeur par défaut est 3) | Double |
units | Defines the units of the neighborhood.
(La valeur par défaut est CELL) | String |
Propriétés
Propriété | Explication | Type de données |
radius (Lecture et écriture) | The radius of the circle neighborhood. | Double |
units (Lecture et écriture) | Defines the units of the neighborhood. | String |
Exemple de code
Demonstrates how to create a NbrCircle class and use it in the BlockStatistics tool within the Python window.
import arcpy
from arcpy import env
from arcpy.sa import *
env.workspace = "C:/sapyexamples/data"
outNbrC = BlockStatistics("block", NbrCircle(2, "MAP"))
outNbrC.save("C:/sapyexamples/output/blstatsnbrc2")
Implements the BlockStatistics tool using the NbrCircle class.
# Name: NbrCircle_Ex_02.py
# Description: Uses the NbrCircle object to execute BlockStatistics tool.
# Requirements: Spatial Analyst Extension
# Import system modules
import arcpy
from arcpy import env
from arcpy.sa import *
# Set environment settings
env.workspace = "C:/sapyexamples/data"
# Set local variables
inRaster = "block"
# Create the Neighborhood Object
radius = 2
myNbrCirc = NbrCircle(radius, "MAP")
# Execute BlockStatistics
outBlkStat = BlockStatistics(inRaster, myNbrCirc, "MINIMUM", "DATA")
# Save the output
outBlkStat.save("C:/sapyexamples/output/blstat_cir3")
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